Algorithms in Julia

A collection of algorithms implemented in Julia. The implementations here focus on the mathematical readability. When possible, I will also include implementations that improve the performance and numerical stability.

List of Algorithms

Machine Learning Algorithms

Gradient boosting

• AdaBoost
• Decision tree
• Loss functions
  1. Squared error
  2. Binomial deviance
  3. LambdaRank
  4. Survival analysis

Gaussian Process

• GP regression
• GP classification
• Bayesian optimization

Data Structures

• Search
• Sort
• Heap Queue
• Union Find
• Unweighted Graph
• Weighted Graph